Distributed evolution strategies for large-scale optimization

Duan, Q Zhou, G Shao, C

Yang, Y Shi, Y

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Publisher:: ACM
Publication Type:: Conference Proceeding
Citation:: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022, pp. 395-398
Issue Date:: 2022-07-09

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Field	Value	Language
dc.contributor.author	Duan, Q
dc.contributor.author	Zhou, G
dc.contributor.author	Shao, C https://orcid.org/0000-0002-1065-3537
dc.contributor.author	Yang, Y
dc.contributor.author	Shi, Y
dc.date.accessioned	2023-02-10T01:34:15Z
dc.date.available	2023-02-10T01:34:15Z
dc.date.issued	2022-07-09
dc.identifier.citation	Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022, pp. 395-398
dc.identifier.uri	http://hdl.handle.net/10453/166030
dc.language	en
dc.publisher	ACM
dc.relation.ispartof	Proceedings of the Genetic and Evolutionary Computation Conference Companion
dc.relation.ispartof	Proceedings of the Genetic and Evolutionary Computation Conference Companion
dc.relation.isbasedon	10.1145/3520304.3528784
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Distributed evolution strategies for large-scale optimization
dc.type	Conference Proceeding
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2023-02-10T01:34:14Z
pubs.publication-status	Published

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